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Analysis of efficiency in public research activities in terms of knowledge spillover: focusing on earthquake R&D accomplishments

Author

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  • Junhee Bae

    (Korea Institute of Geoscience and Mineral Resources (KIGAM))

  • Yanghon Chung

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Hyesoo Ko

    (Korea Advanced Institute of Science and Technology (KAIST))

Abstract

Many countries aim to efficiently allocate limited national research and development resources to produce optimal research. A proportion of limited national research and development (R&D) budgets is invested in technologies that are highly publicly available to create public benefits. However, unlike general technology, it is not easy to generate profits through the commercialization of public technology; therefore, instead of using existing methodologies, it is necessary to analyze the efficiency of public technologies from a qualitative point of view. In this study, a two-stage network data envelopment analysis was conducted to analyze the stages involved in knowledge diffusion and application and the efficiency of conducting public technology R&D activities with respect to knowledge spillover. Cross-country comparisons were conducted to understand the factors that generate differences in R&D efficiency. The results of the return to scale analysis imply that countries with a high frequency of earthquakes should increase or at least maintain the number of studies conducted on earthquakes, whereas countries characterized by fewer earthquakes should focus their R&D strategy on a particular research area. In addition, in the two-stage network data envelopment analysis, the USA, France, New Zealand, and South Korea exhibited efficient performance in both stages. Japan performed poorly in the knowledge diffusion stage due to its national characteristics; however, the earthquake reduction effects were prominent because Japan responded effectively at the knowledge application stage. In contrast, well-diffused research results in Turkey, Iran, and China were not efficiently utilized, which resulted in low knowledge application-level efficiencies.

Suggested Citation

  • Junhee Bae & Yanghon Chung & Hyesoo Ko, 2021. "Analysis of efficiency in public research activities in terms of knowledge spillover: focusing on earthquake R&D accomplishments," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2249-2264, September.
  • Handle: RePEc:spr:nathaz:v:108:y:2021:i:2:d:10.1007_s11069-021-04778-7
    DOI: 10.1007/s11069-021-04778-7
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    as
    1. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. Banker, Rajiv D. & Thrall, R. M., 1992. "Estimation of returns to scale using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 62(1), pages 74-84, October.
    3. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    4. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    5. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    8. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    9. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    10. Liu, John S. & Lu, Wen-Min, 2010. "DEA and ranking with the network-based approach: a case of R&D performance," Omega, Elsevier, vol. 38(6), pages 453-464, December.
    11. Kim, Younghwan & Kim, Minki & Kim, Wonjoon, 2013. "Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 61(C), pages 822-828.
    12. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    13. Hsu, Fang-Ming & Hsueh, Chao-Chih, 2009. "Measuring relative efficiency of government-sponsored R&D projects: A three-stage approach," Evaluation and Program Planning, Elsevier, vol. 32(2), pages 178-186, May.
    14. Liang Liang & Feng Yang & Wade Cook & Joe Zhu, 2006. "DEA models for supply chain efficiency evaluation," Annals of Operations Research, Springer, vol. 145(1), pages 35-49, July.
    15. Lee, Hakyeon & Park, Yongtae & Choi, Hoogon, 2009. "Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach," European Journal of Operational Research, Elsevier, vol. 196(3), pages 847-855, August.
    16. Mark Crosby, 2000. "Patents, Innovation and Growth," The Economic Record, The Economic Society of Australia, vol. 76(234), pages 255-262, September.
    17. Cook, Wade D. & Liang, Liang & Zhu, Joe, 2010. "Measuring performance of two-stage network structures by DEA: A review and future perspective," Omega, Elsevier, vol. 38(6), pages 423-430, December.
    18. Picci, Lucio, 2010. "The internationalization of inventive activity: A gravity model using patent data," Research Policy, Elsevier, vol. 39(8), pages 1070-1081, October.
    19. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    20. Chun, Dongphil & Hong, Sungjun & Chung, Yanghon & Woo, Chungwon & Seo, Hangyeol, 2016. "Influencing factors on hydrogen energy R&D projects: An ex-post performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1252-1258.
    21. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    22. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2014. "Assessing national strengths and weaknesses in research fields," Journal of Informetrics, Elsevier, vol. 8(3), pages 766-775.
    23. Chen, Yao & Liang, Liang & Zhu, Joe, 2009. "Equivalence in two-stage DEA approaches," European Journal of Operational Research, Elsevier, vol. 193(2), pages 600-604, March.
    24. Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
    25. George Messinis, 2011. "Triadic citations, country biases and patent value: the case of pharmaceuticals," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 813-833, December.
    26. Castelli, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2004. "DEA-like models for the efficiency evaluation of hierarchically structured units," European Journal of Operational Research, Elsevier, vol. 154(2), pages 465-476, April.
    27. Chiang Kao, 2014. "Efficiency Decomposition in Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 55-77, Springer.
    28. Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.
    29. Paola Criscuolo, 2006. "The 'home advantage' effect and patent families. A comparison of OECD triadic patents, the USPTO and the EPO," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 23-41, January.
    30. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    31. Marijn Janssen & JinKyu Lee & Nitesh Bharosa & Anthony Cresswell, 2010. "Advances in multi-agency disaster management: Key elements in disaster research," Information Systems Frontiers, Springer, vol. 12(1), pages 1-7, March.
    32. repec:bla:scandj:v:104:y:2002:i:4:p:531-45 is not listed on IDEAS
    33. Thomas, V.J. & Sharma, Seema & Jain, Sudhir K., 2011. "Using patents and publications to assess R&D efficiency in the states of the USA," World Patent Information, Elsevier, vol. 33(1), pages 4-10, March.
    34. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
    35. Per Botolf Maurseth & Bart Verspagen, 2002. "Knowledge Spillovers in Europe: A Patent Citations Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(4), pages 531-545, December.
    Full references (including those not matched with items on IDEAS)

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